Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add MohamedAbdallah-14/unslop --skill unslop-filegit clone --depth 1 https://github.com/MohamedAbdallah-14/unslopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mohamedabdallah-14/unslop/unslop-file)<a href="https://agentmods.dev/skills/mohamedabdallah-14/unslop/unslop-file"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/unslop/unslop-file/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mohamedabdallah-14/unslop/unslop-file"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/unslop/unslop-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 26 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Agent Snooping · line 53 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 54 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Prompt Injection · line 114 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 117 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 118 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 119 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 120 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 121 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00107 | $0.02293 |
| Opus 5 | $0.00053 | $0.01146 |
| Sonnet 5 | $0.00021 | $0.00459 |
| Haiku 4.5 | $0.00011 | $0.00229 |
Grade A, and why
unslop-file scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unslop Humanize
Purpose
Rewrite natural-language memory files (CLAUDE.md, AGENTS.md, todos, preferences, docs) so they sound human-written: no sycophancy, no stock vocab, no five-paragraph essay shape, no tricolon padding. Everything technical stays exact: code blocks, inline code, URLs, file paths, commands, headings, tables.
Two modes:
--deterministic— fast regex pass that strips canonical AI-isms and tightens tricolons. No API call, noANTHROPIC_API_KEYneeded. Best for batch processing and CI.- LLM mode (default) — calls Claude (via Anthropic SDK or
claude --printCLI fallback) to do a full rewrite that engineers burstiness, restructures performative paragraphs, and matches voice. Slower but better quality.
Humanized version overwrites the original. A FILE.original.md backup is written first. Re-run after editing the .original.md to regenerate.
Intensity levels (--mode)
| Mode | What runs | Use when… |
|---|---|---|
subtle |
Stock vocab only. | Structure is fine; you just want AI vocabulary gone. |
balanced |
(Default.) Sycophancy, hedging, transitions, stock vocab, authority tropes, signposting, performative balance, em-dash cap. | Everyday docs / READMEs / CLAUDE.md. |
full |
Balanced + filler phrases + negative-parallelism tricolons + stronger LLM prompt. | Marketing copy, release notes, slop-heavy LLM output. |
Two-pass audit
Use the deterministic pass to get a report, then fix anything that slipped:
humanize --deterministic --report audit.json doc.md # writes audit + humanized
humanize doc.md # optional LLM polish on top
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/__init__.py 567 B runs code
- scripts/__main__.py 70 B runs code
- scripts/benchmark.py 2.9 KB runs code
- scripts/cli.py 29 KB runs code
- scripts/data/__init__.py 0 B runs code
- scripts/data/stylometric_baseline.json 5.0 KB
- scripts/detect.py 5.1 KB runs code
- scripts/detector.py 17 KB runs code
- scripts/fetch_detectors.py 2.8 KB runs code
- scripts/humanize.py 72 KB runs code
- scripts/lexical_targets.py 8.3 KB runs code
- scripts/py.typed 0 B
- scripts/reasoning.py 6.5 KB runs code
- scripts/shield_metrics.py 5.6 KB runs code
- scripts/soul.py 11 KB runs code
- scripts/structural.py 14 KB runs code
- scripts/style_memory.py 8.5 KB runs code
- scripts/stylometry.py 13 KB runs code
- scripts/surprisal.py 11 KB runs code
- scripts/validate.py 32 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 146 lines · 107 tokens per session scan A 16102a2925fe
unslop-file is a skill published in the GitHub repository MohamedAbdallah-14/unslop (135 stars, last pushed 5d ago), licensed MIT. It adds 107 tokens to every session and 2,293 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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